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Apache Hive Essentials

You're reading from   Apache Hive Essentials Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781783558575
Length 208 pages
Edition 1st Edition
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Author (1):
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Dayong Du Dayong Du
Author Profile Icon Dayong Du
Dayong Du
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Table of Contents (12) Chapters Close

Preface 1. Overview of Big Data and Hive 2. Setting Up the Hive Environment FREE CHAPTER 3. Data Definition and Description 4. Data Selection and Scope 5. Data Manipulation 6. Data Aggregation and Sampling 7. Performance Considerations 8. Extensibility Considerations 9. Security Considerations 10. Working with Other Tools Index

Data exchange – EXPORT and IMPORT


When working with Hive, sometimes we need to migrate data among different environments. Or we may need to back up some data. Since Hive 0.8.0, EXPORT and IMPORT statements are available to support the import and export of data in HDFS for data migration or backup/restore purposes.

The EXPORT statement will export both data and metadata from a table or partition. Metadata is exported in a file called _metadata. Data is exported in a subdirectory called data:

jdbc:hive2://> EXPORT TABLE employee TO '/user/dayongd/output3';
No rows affected (0.19 seconds)

After EXPORT, we can manually copy the exported files to other Hive instances or use Hadoop distcp commands to copy to other HDFS clusters. Then, we can import the data in the following manner:

  • Import data to a table with the same name. It throws an error if the table exists:

    jdbc:hive2://> IMPORT FROM '/user/dayongd/output3';
    Error: Error while compiling statement: FAILED: SemanticException [Error 10119...
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